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QAway-to
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·
90eebc8
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Parent(s):
962e968
App translate 1.2
Browse files
app.py
CHANGED
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@@ -5,7 +5,6 @@ from core.comparer import PortfolioComparer
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from core.chat import ChatAssistant
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from core.metrics import show_metrics_table
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from core.visualization import build_alpha_chart
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from core.comparison_table import show_comparison_table
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MODEL_NAME = "meta-llama/Meta-Llama-3.1-8B-Instruct"
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@@ -13,192 +12,115 @@ analyzer = PortfolioAnalyzer(llm_service, MODEL_NAME)
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comparer = PortfolioComparer(llm_service, MODEL_NAME)
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chatbot = ChatAssistant(llm_service, MODEL_NAME)
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}
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/* === Textbox styling === */
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.page .gr-textbox textarea {
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min-height: 400px !important;
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resize: none !important;
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overflow-y: auto !important;
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background: #161b22 !important;
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color: #f0f6fc !important;
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border: 1px solid #30363d !important;
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border-radius: 6px !important;
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font-family: 'JetBrains Mono', monospace !important;
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font-size: 14px !important;
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line-height: 1.5 !important;
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}
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height: 460px !important;
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overflow-y: auto !important;
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}
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#metrics_table {
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height: 460px !important;
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overflow: auto !important;
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}
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#alpha_chart .user-select-none {
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display: none !important;
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}
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#alpha_chart svg {
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display: none !important;
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}
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#alpha_chart {
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border-radius: 6px !important;
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overflow: hidden !important;
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background: #161b22 !important;
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}
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/* === Tables === */
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.gr-dataframe table {
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width: 100% !important;
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color: #c9d1d9 !important;
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background: #161b22 !important;
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}
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.gr-dataframe th {
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background: #21262d !important;
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color: #f0f6fc !important;
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font-weight: 600 !important;
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text-transform: uppercase;
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border-bottom: 1px solid #30363d !important;
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}
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.gr-dataframe td {
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border-top: 1px solid #30363d !important;
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padding: 8px !important;
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}
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""") as demo:
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gr.Markdown("## Investment Portfolio Analyzer")
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gr.Markdown(
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"A professional dashboard for analyzing and comparing investment portfolios using AI insights.",
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elem_classes="subtitle",
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)
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with gr.Tabs():
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# --- Analysis ---
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with gr.TabItem("Analysis"):
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with gr.Column(elem_classes="page"):
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portfolio_input = gr.Textbox(
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label="Portfolio ID or Link",
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placeholder="Enter a portfolio ID (e.g. ea856c1b-...)",
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lines=1,
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value="b1ef37aa-5b9a-41b4-9394-8823f2de36bb",
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)
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analyze_button = gr.Button("Run Analysis", variant="primary")
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analyze_output = gr.Textbox(label="Analysis Result", lines=15)
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analyze_button.click(analyzer.run, inputs=portfolio_input, outputs=analyze_output)
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# --- Comparison Table ---
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with gr.TabItem("Comparison Table"):
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with gr.Column(elem_classes="page"):
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comp_input_1 = gr.Textbox(label="Portfolio A", value="3852a354-e66e-4bc5-97e9-55124e31e687")
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comp_input_2 = gr.Textbox(label="Portfolio B", value="b1ef37aa-5b9a-41b4-9394-8823f2de36bb")
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comp_button = gr.Button("Load Comparison", variant="primary")
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comp_output_comment = gr.Textbox(
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label="AI Commentary",
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lines=12,
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interactive=True,
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show_copy_button=True,
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elem_id="comment_box",
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)
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comp_output_table = gr.Dataframe(
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label="Comparative Metrics",
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wrap=True,
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elem_id="metrics_table",
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)
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comp_button.click(
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show_comparison_table,
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inputs=[comp_input_1, comp_input_2],
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outputs=[comp_output_table, comp_output_comment],
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)
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# --- Assistant ---
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with gr.TabItem("Assistant"):
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with gr.Column(elem_classes="page"):
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chat_input = gr.Textbox(label="Ask about investments or analysis")
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chat_button = gr.Button("Send Question", variant="primary")
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chat_output = gr.Textbox(label="AI Response", lines=8)
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chat_button.click(chatbot.run, inputs=chat_input, outputs=chat_output)
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# --- Metrics Table ---
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with gr.TabItem("Metrics Table"):
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with gr.Column(elem_classes="page"):
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metrics_input = gr.Textbox(label="Portfolio ID", value="b1ef37aa-5b9a-41b4-9394-8823f2de36bb")
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metrics_button = gr.Button("Load Metrics", variant="primary")
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metrics_output = gr.Dataframe(label="Portfolio Metrics", wrap=True)
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metrics_button.click(show_metrics_table, inputs=metrics_input, outputs=metrics_output)
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# --- AlphaBTC Chart ---
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with gr.TabItem("AlphaBTC Chart"):
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with gr.Column(elem_classes="page"):
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chart_input = gr.Textbox(label="Portfolio ID", value="3852a354-e66e-4bc5-97e9-55124e31e687")
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chart_button = gr.Button("Generate Chart", variant="primary")
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chart_output = gr.Plot(label="Alpha vs BTC", elem_id="alpha_chart")
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chart_button.click(build_alpha_chart, inputs=chart_input, outputs=chart_output)
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gr.Markdown("---")
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gr.Markdown(
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"<center><small style='color:#6e7681;'>Developed with Featherless.ai • Powered by OpenAI-compatible API</small></center>",
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elem_classes="footer",
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)
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if __name__ == "__main__":
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demo.launch()
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from core.chat import ChatAssistant
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from core.metrics import show_metrics_table
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from core.visualization import build_alpha_chart
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MODEL_NAME = "meta-llama/Meta-Llama-3.1-8B-Instruct"
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comparer = PortfolioComparer(llm_service, MODEL_NAME)
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chatbot = ChatAssistant(llm_service, MODEL_NAME)
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# === Text dictionaries for RU/ENG ===
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LANG_TEXT = {
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"ENG": {
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"title": "🧠 Investment Portfolio Analysis",
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"tabs": ["📊 Analysis", "⚖️ Comparison", "💬 Chat2", "📋 Metrics Table", "📈 AlphaBTC Chart"],
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"labels": {
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"analyze_input": "Enter portfolioId or link",
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"analyze_button": "🔍 Analyze",
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"analyze_output": "Analysis Result",
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"compare_1": "Portfolio A",
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"compare_2": "Portfolio B",
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"compare_button": "📈 Compare",
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"compare_output": "Comparison Result",
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"chat_input": "Ask your question",
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"chat_button": "Send",
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"chat_output": "Response",
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"metrics_input": "Enter portfolioId",
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"metrics_button": "Show Metrics",
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"metrics_output": "Portfolio Metrics",
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"chart_input": "Enter portfolioId",
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"chart_button": "Plot Chart",
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"chart_output": "Alpha to BTC Chart",
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}
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},
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"RU": {
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"title": "🧠 Анализ инвестиционных портфелей",
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"tabs": ["📊 Анализ", "⚖️ Сравнение", "💬 Диалог", "📋 Таблица метрик", "📈 График AlphaBTC"],
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"labels": {
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"analyze_input": "Введите ссылку или portfolioId",
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"analyze_button": "🔍 Проанализировать",
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"analyze_output": "📈 Результат анализа",
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"compare_1": "Портфель 1",
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"compare_2": "Портфель 2",
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"compare_button": "📊 Сравнить",
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"compare_output": "📉 Результат сравнения",
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"chat_input": "Ваш вопрос",
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"chat_button": "Отправить",
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"chat_output": "Ответ",
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"metrics_input": "Введите portfolioId",
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"metrics_button": "📥 Показать метрики",
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"metrics_output": "📊 Метрики портфеля",
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"chart_input": "Введите portfolioId",
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"chart_button": "Построить график",
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"chart_output": "График Alpha к BTC",
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}
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}
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}
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def build_interface(lang="ENG"):
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text = LANG_TEXT[lang]
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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lang_state = gr.State(lang)
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# Header
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gr.Markdown(f"## {text['title']}")
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# Language toggle
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lang_button = gr.Button("🌐 Switch Language (RU / ENG)")
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def switch_language(current_lang):
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return "RU" if current_lang == "ENG" else "ENG"
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lang_button.click(fn=switch_language, inputs=lang_state, outputs=lang_state).then(
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fn=lambda l: gr.update(visible=False), inputs=lang_state, outputs=None
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)
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with gr.Tabs():
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# --- Tab 1: Analysis ---
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with gr.TabItem(text["tabs"][0]):
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inp = gr.Textbox(label=text["labels"]["analyze_input"])
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btn = gr.Button(text["labels"]["analyze_button"])
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out = gr.Textbox(label=text["labels"]["analyze_output"], lines=15)
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btn.click(fn=analyzer.run, inputs=inp, outputs=out)
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# --- Tab 2: Comparison ---
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with gr.TabItem(text["tabs"][1]):
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a = gr.Textbox(label=text["labels"]["compare_1"])
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b = gr.Textbox(label=text["labels"]["compare_2"])
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cmp_btn = gr.Button(text["labels"]["compare_button"])
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cmp_out = gr.Textbox(label=text["labels"]["compare_output"], lines=20)
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cmp_btn.click(fn=comparer.run, inputs=[a, b], outputs=cmp_out)
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# --- Tab 3: Chat ---
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with gr.TabItem(text["tabs"][2]):
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chat_in = gr.Textbox(label=text["labels"]["chat_input"])
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chat_btn = gr.Button(text["labels"]["chat_button"])
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chat_out = gr.Textbox(label=text["labels"]["chat_output"], lines=8)
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chat_btn.click(fn=chatbot.run, inputs=chat_in, outputs=chat_out)
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# --- Tab 4: Metrics Table ---
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with gr.TabItem(text["tabs"][3]):
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mid = gr.Textbox(label=text["labels"]["metrics_input"])
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mbtn = gr.Button(text["labels"]["metrics_button"])
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mout = gr.Dataframe(label=text["labels"]["metrics_output"], wrap=True)
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mbtn.click(fn=show_metrics_table, inputs=mid, outputs=mout)
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# --- Tab 5: AlphaBTC Chart ---
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with gr.TabItem(text["tabs"][4]):
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cid = gr.Textbox(label=text["labels"]["chart_input"], value="3852a354-e66e-4bc5-97e9-55124e31e687")
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cbtn = gr.Button(text["labels"]["chart_button"])
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cout = gr.Plot(label=text["labels"]["chart_output"])
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cbtn.click(fn=build_alpha_chart, inputs=cid, outputs=cout)
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return demo
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| 122 |
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# === Default launch in English ===
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if __name__ == "__main__":
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demo = build_interface(lang="ENG")
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demo.launch()
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